IMHE CIPS—结构裂缝识别与处理系统

IMHE CIPS—Crack Identifying and Processing System in Structure Experiment and Construction Monitoring

在结构试验和现役结构观测中,裂缝的出现和发展状况是判别试件和结构性能和承载力变化的一个重要依据和技术手段。随着计算机硬件设备成本大幅度降低以及在军事、商业、工业、医学等领域的广泛应用,数字图像处理技术发展迅速。本文介绍了新研制开发的一种裂缝识别和处理系统IMHE CIPS,IMHE CIPS系统主要采用二值图像形态学处理算法———开算法,通过数字图像处理运算,将彩色裂缝图片转换成不含噪声的二值化裂缝区域图,并且通过骨化处理形成骨化裂缝二值图,计算出裂缝的长度和裂缝的面积,其裂缝分辨率可达到0.1mm。最后,本文结合工程实例,详细说明了该系统识别裂缝和进行相关计算的方法。

It＇s espeeiaUy important to identify and observe how and what time cracks happen and how to expend in structure experiment and existing construction monitoring. Crack identification is an important foundation and a technical means to estimate some change in structure performance and bearing load capacity of experimental model and construction. Along with the development of computer hardware technique and its application on military affairs, commerce,industry and iatrology,digital image processing progresses at a rapid rate. This paper introduces a crack identifying and processing systern IMHE CIPS newly developed by Institute of Mountain Hazards and Environment, CAS and Chengdu VIDITS Dynamic Instrument Co., Ltd. This system is mainly based on opening arithmetic that is one of computing algorithm of mathematical morphology in binary image processing. First,a color picture contained cracks was converted to a binary image without noises. Secondly, a skeleton image was obtained via a skeletonizing algorithm. Finally, the length and area was calculated whose precision is under 0. 1mm. In virtue of an actual structure experiment, the authors present how to operate this system to process and calculate cracks information.